MLOps: models that survive production · 2. Data versioning
MLOps: models that survive production · Chapter 2 of 12 · AI Engineering · new chapter every Thursday night By the end of this chapter: Reproduce a…
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Low-Latency Text to Speech for AI Voice Agents
When callers ring your front desk, conversational latency determines whether your AI sounds like an attentive assistant or a slow machine. Here is h…
tracehub-mcp: Giving AI Assistants a Real Query Interface Into Your LLM Traces
The Copy-Paste Problem Here's what debugging an LLM application looks like for most people today, including me until recently: something is slow, or…
Why I Built cost-guard-mcp: Pre-Flight Cost Guardrails for AI Agents Talking to Data Warehouses
The query that shouldn't have run Give an AI agent a warehouse MCP server and, sooner or later, it will write a query that scans a full multi-teraby…
The Terminal Is the New IDE: An Architectural Deep-Dive into Claude Fable 5.1 and Claude Code
The software engineering toolkit is undergoing its most radical transformation since the transition from raw text editors to integrated development…
Why Your Enterprise RAG Pipeline Is Failing Before the First Query Runs
Introduction: The Ingestion Layer Is the Real Bottleneck Most teams building Retrieval-Augmented Generation (RAG) systems invest their engineering e…
LangChain vs Bedrock: Which AI Framework to Choose?
LangChain vs Bedrock: Which AI Framework Should You Choose in 2026? TL;DR: LangChain is an open-source framework for building composable LLM applica…
AI is writing more of our code every day. But are we paying close attention to what happens when that code quietly fails?
AI is writing more of our code every day. But are we paying close attention to what happens when that code quietly fails? → Silent failures are the…
S-LoRA: Multiplexing Thousands of Fine-Tuned Adapters on a Single GPU
S-LoRA: Multiplexing Thousands of Fine-Tuned Adapters on a Single GPU How Unified Paging and scalable LoRA adapter serving allows cloud platforms to…
OmniRouter Architecture: Resilient LLM Gateway Routing & Fallback Pipelines
OmniRouter Architecture: Resilient LLM Gateway Routing & Fallback Pipelines Advanced API routing techniques for multi-LLM architectures, mitigat…
Serving Mixture of Experts (MoE): Memory-Efficient Inference Routing
Serving Mixture of Experts (MoE): Memory-Efficient Inference Routing Deep dive into the gating router mechanisms of Mixtral 8x7B and DeepSeek-V2, ex…
trelix v1.0 to v2.7: When "It Works" Meets "It Scales"
Twelve days after I shipped trelix v1.0.0, I was staring at a RetrievalConfig object with two conflicting sets of values and no idea which one was a…
LongCat-2.0 & Agentic AI: Reshaping India's Tech by 2026
After building 50+ AI systems, here is what we know about agentic coding models and the burgeoning open-source AI frontier, particularly with the gr…
What GenAI Actually Costs in Production
The first number anyone quotes when asked what generative AI costs is a per-token figure. It is a comfortable number — small, unambiguous, available…
The Token Tax Problem: How I Built a Super Memory Layer for AI Coding Assistants using LLM Wiki
The Token Tax Problem: How I Built a Super Memory Layer for AI Coding Assistants We Solved the Wrong Problem First When AI coding assistants arrived…
Production LLM Guardrails: 8 Controls Every AI Team Needs
Most AI projects fail somewhere between demo works and production ships . The gap is rarely the model. It's the absence of the controls that turn a…
The Most Useful AI Workflow I’ve Built Isn’t About Writing Code
The Problem Wasn’t Triage Most AI workflows in software engineering still keep the human directly in the middle of triage. The AI might help write c…